Hardware Engineer, Robotics Lab

Join a dynamic team dedicated to building the infrastructure that empowers intelligent robots to learn, operate, and scale in real-world environments. As a Hardware Engineer in our Robotics Lab, you will play a crucial role in bridging hardware and software, facilitating the integration of new robotic platforms, sensors, and data pipelines, while enabling researchers to rapidly prototype and deploy innovative capabilities. Key Responsibilities

• Bring up, integrate, and maintain various robotic platforms, including humanoids, robotic manipulators, mobile robots, and custom end effectors.
• Build and maintain robust integrations with ROS 2, hardware SDKs, and custom control interfaces.
• Design scalable data collection pipelines for multimodal robotics datasets, utilizing formats such as ROS Bag, HDF5, Parquet, and MP4.
• Develop reliable teleoperation systems focusing on low-latency control, observability, and operator experience.
• Construct and optimize real-time video streaming infrastructure using technologies like WebRTC, RTSP, FFmpeg, GStreamer, and HLS.
• Integrate, synchronize, and calibrate advanced perception hardware, including Intel RealSense, Luxonis OAK-D, ZED, FLIR, GigE, and USB camera systems.
• Diagnose hardware, networking, and system-level issues across lab and remote deployments, supporting robot bring-up, maintenance, and fleet operations.
• Enhance developer tooling, automation, and documentation to improve reliability and research velocity.
• Collaborate closely with researchers and engineers to rapidly prototype, test, and iterate on new robotic capabilities.

• Strong programming skills in Python and C++, with working knowledge of C#.
• Deep experience with ROS 2, Ubuntu/Linux, Docker, Git, and shell scripting.
• Experience integrating robotics hardware through vendor SDKs and low-level hardware APIs.
• Solid understanding of networking fundamentals, including TCP/IP, SSH, VPNs, REST/gRPC, and WebSockets.
• Hands-on experience building teleoperation systems and real-time video streaming infrastructure.
• Experience integrating and calibrating multimodal sensor systems, including RGB, depth, stereo, and IMU sensors.
• Familiarity with managing large robotics datasets using cloud storage platforms such as AWS S3 or Cloudflare R2.
• Strong debugging skills across hardware, software, networking, and embedded systems.
• Comfortable working in a fast-paced, experimental environment where priorities evolve quickly.

• Experience supporting fleets of robots in production or research environments.
• Familiarity with distributed robotics infrastructure and remote diagnostics.
• Experience building tooling for robotics data collection, evaluation, or simulation.
• Contributions to open-source robotics software or robotics research projects.
• Experience with autonomous systems, computer vision, or embodied AI.
• A passion for building real-world intelligent systems and solving challenging engineering problems alongside researchers.

Full-time, on-site in San Francisco.

Annual salary range of $200, 000 - $300, 000.

Open to candidates with the required skills and experience.